ListarInstitute of New Imaging Technologies (INIT) por tema "Kernel smoothing"
Mostrando ítems 1-3 de 3
-
A first‐order, ratio‐based nonparametric separability test for spatiotemporal point processes
(2018-02)Testing whether the intensity function of a spatiotemporal point process is sep- arable should be one of the first steps in the analysis of any observed pattern. Under separability, the risk of observing an event at time ... -
A nonparametric test for the comparison of first-order structures of spatial point processes
Elsevier (2017)Comparing the spatial distribution of two spatial point patterns is an important issue in many scientific areas such as ecology, epidemiology or environmental risk assessment. However, up to date, the analysis of multitype ... -
Second-order smoothing of spatial point patterns with small sample sizes: a family of kernels
Springer Verlag (2015-01)We consider kernel-based non-parametric estimation of second-order product densities of spatial point patterns. We present a new family of optimal and positive kernels that shows less variance and more flexibility than ...